100% Coverage, and the Service Still Failed
The 80% code coverage bar has been the industry’s comfort blanket for over a decade. Teams set it as a CI gate, PRs get blocked if they dip below it, and everyone sleeps a little better knowing …
Read More: 100% Coverage, and the Service Still FailedI Built 2 Multi-Agent Systems - Here's What I Learned About the Architecture
Enterprise adoption of multi-agent AI surged from 23% in 2024 to 72% in 2026. The market is projected to reach $52 billion by 2030. Yet between 41% and 87% of multi-agent LLM systems fail in …
Read More: I Built 2 Multi-Agent Systems - Here's What I Learned About the ArchitectureThe Three Layers of AI Transformation
Singapore just established a National AI Council chaired by Prime Minister Wong, committed over S$1 billion to AI research and development, and set a target to train 100,000 workers to become …
Read More: The Three Layers of AI TransformationTo Vibe or Not To Vibe
You know the feeling. Late night, fresh idea buzzing, your AI coding companion humming along. You describe a function, sketch a UI, and poof - lines of code bloom onto the screen. Features materialize …
Read More: To Vibe or Not To VibeThe GPS Framework for Productivity
I used to be the person with 47 browser tabs open, three half-finished courses, a Jira backlog that kept growing, and a vague sense that I was busy but not productive. Sound familiar? Balancing …
Read More: The GPS Framework for ProductivityScaled Agile Framework
I’m not SAFe-certified. However, as an Agile enthusiast who has scaled engineering teams and delivered complex products, I’ve studied SAFe extensively and found it to be the most …
Read More: Scaled Agile FrameworkTech Debt: From a Technical Jargon to Real-World Impacts
I recently gave a presentation at my company about tech debt - sharing knowledge, techniques, and experiences on how to manage it properly and efficiently. The response convinced me to write this up …
Read More: Tech Debt: From a Technical Jargon to Real-World ImpactsThe Modern Leader
There’s a pattern I’ve seen play out more than once. A team ships a big release, leadership celebrates, and within weeks the strongest engineers start disengaging. They become quieter in …
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